python 内存数据库与远程服务

需要import的python 内存数据库代码参考下面的链接:

http://blog.csdn.net/ubuntu64fan/article/details/50424683

现在的问题:

创建一个内存数据服务,可以供本地或远程用户连接上来,多个用户同时并发读写

这个内存数据库。

解决的步骤有3:

(1) 创建服务器(memdb_server.py)

(2) 创建客户端(memdb_client.py)

(3) 启动服务器,启动客户端

1 服务器代码:

#!/usr/bin/python
#-*- coding: UTF-8 -*-
# memdb_server.py
#
# Queues are thread and process safe.
# Refer:
#   https://docs.python.org/2/library/multiprocessing.html
#
########################################################################
# The MIT License (MIT)
#    http://opensource.org/licenses/MIT
#
#  Copyright (c) 2015 copyright cheungmine
#
# Permission is hereby granted, free of charge, to any person obtaining
#  a copy of this software and associated documentation files (the
#  "Software"), to deal in the Software without restriction, including
#  without limitation the rights to use, copy, modify, merge, publish,
#  distribute, sublicense, and/or sell copies of the Software, and to
#  permit persons to whom the Software is furnished to do so, subject
#  to the following conditions:
#
# The above copyright notice and this permission notice shall be
#  included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
########################################################################

from multiprocessing.managers import BaseManager
from multiprocessing import RLock

from memdb import MemDB
from memdb import MemDBConnect

# global variables
#
lock = RLock()

memdbConn = MemDBConnect(MemDB())

class MemDBManager(BaseManager): pass

# thread safe class
#
class MemDBConnectProxy(object):
    global memdbConn

    def QueryTables(self):
        return memdbConn.QueryTablesNothrow()

    def QueryTableKeys(self, tablename):
        return memdbConn.QueryTableKeysNothrow(tablename)

    def CreateTable(self, tablename):
        memdbConn.CreateTableNothrow(tablename)
        pass

    def DropTable(self, tablename):
        memdbConn.DropTableNothrow(tablename)
        pass

    def GetValue(self, tablename, key, defaultvalue):
        return memdbConn.GetValueNothrow(tablename, key, defaultvalue)

    def AddValue(self, tablename, key, value):
        return memdbConn.AddValueNothrow(tablename, key, value)

    def DelValue(self, tablename, key):
        memdbConn.DelValueNothrow(tablename, key)

    def AppendValueList(self, tablename, key, value, non_repeated_value):
        memdbConn.AppendValueListNothrow(tablename, key, value, non_repeated_value)

    def AppendValueListMulti(self, tablenames, keys, values, non_repeated_values):
        memdbConn.AppendValueListMultiNothrow(tablenames, keys, values, non_repeated_values)

###########################################################
#
class MemDBManagerServer:
    MemDBManager.register('get_lock', callable=lambda: lock)
    MemDBManager.register('MemDBConnect', MemDBConnectProxy)

    def __init__(self, host, port, passkey):
        self.manager = MemDBManager(address=(host, port), authkey=passkey)
        self.server = self.manager.get_server()
        pass

    def start(self):
        self.server.serve_forever()
        pass

    def stop(self):
        self.server.shutdown()
        self.stop_flag = 1
        pass

###########################################################
# start('', 12345, 'abc')
#
def start(host, port, passkey):
     from memdb_server import MemDBManagerServer

     server = MemDBManagerServer(host, port, passkey)
     server.start()

2 客户端代码:

#!/usr/bin/python
#-*- coding: UTF-8 -*-
# memdb_client.py
#
# Queues are thread and process safe.
#
########################################################################
# The MIT License (MIT)
#    http://opensource.org/licenses/MIT
#
#  Copyright (c) 2015 copyright cheungmine
#
# Permission is hereby granted, free of charge, to any person obtaining
#  a copy of this software and associated documentation files (the
#  "Software"), to deal in the Software without restriction, including
#  without limitation the rights to use, copy, modify, merge, publish,
#  distribute, sublicense, and/or sell copies of the Software, and to
#  permit persons to whom the Software is furnished to do so, subject
#  to the following conditions:
#
# The above copyright notice and this permission notice shall be
#  included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
# IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
# CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
# TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
# SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
########################################################################

from multiprocessing.managers import BaseManager
from multiprocessing import RLock
from memdb import *

class MemDBConnectProxy(object): pass

class MemDBManager(BaseManager): pass

class MemDBManagerClient:
    MemDBManager.register('get_lock', callable=lambda: lock)
    MemDBManager.register('MemDBConnect', callable=lambda: MemDBConnectProxy)

    def __init__(self, servhost, servport, authkey):
        self.config = {
            "host": servhost,
            "port": int(servport),
            "authkey": authkey
        }
        self._lock = None
        self.manager = MemDBManager(address=(self.config['host'], self.config['port']), authkey=self.config['authkey'])
        self.manager.connect()
        pass

    def __del__(self):
        self.unlock()
        pass

    def lock(self):
        if not self._lock:
            self._lock = self.manager.get_lock()
            self._lock.acquire()
        pass

    def unlock(self):
        if self._lock:
            l = self._lock
            self._lock = None
            l.release()
        pass

    def getMemDBConnect(self):
        self.memdbConn = self.manager.MemDBConnect()
        return self.memdbConn

###########################################################
# start('', 12345, 'abc')
#
def start(host, port, passkey):
    from memdb_client import MemDBManagerClient

    client = MemDBManagerClient(host, port, passkey)
    print "connect to memdb server success"
    memdbConn = client.getMemDBConnect()

    tables = ["china", "america", "russian"]

    # memdb_server.MemDBConnectProxy
    for t in tables:
        memdbConn.CreateTable(t)
    print memdbConn.QueryTables()

    memdbConn.AddValue("china", "capital", "Beijing")
    memdbConn.AddValue("china", "1-city", "Shanghai")
    memdbConn.AddValue("america", "capital", "Washington")
    memdbConn.AddValue("america", "1-city", "Newyork")
    memdbConn.AddValue("russian", "capital", "Moscow")
    memdbConn.AddValue("russian", "1-city", "Moscow")

    memdbConn.AppendValueListMulti(
        ["china", "america", "russian"],
        ["population", "population", "population"],
        [130000, 30000, 20000],
        [True, True, True])

    for t in tables:
        keys = memdbConn.QueryTableKeys(t)
        for k in keys:
            v = memdbConn.GetValue(t, k, None)
            print "%s: %r=>%r" % (t, k, v)

3 开二个终端,分别启动服务和客户端:

服务端:

Python 2.7.6 (default, Jun 22 2015, 17:58:13)
[GCC 4.8.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import memdb_server
>>> memdb_server.start('', 12345, 'abc')

客户端:

Python 2.7.6 (default, Jun 22 2015, 17:58:13)
[GCC 4.8.2] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import memdb_client
>>> memdb_client.start('', 12345, 'abc')
connect to memdb server success
['russian', 'america', 'china']
china: '1-city'=>'Shanghai'
china: 'population'=>[130000]
china: 'capital'=>'Beijing'
america: '1-city'=>'Newyork'
america: 'population'=>[30000]
america: 'capital'=>'Washington'
russian: '1-city'=>'Moscow'
russian: 'population'=>[20000]
russian: 'capital'=>'Moscow'
>>>

python 内存数据库与远程服务的更多相关文章

  1. Python内存数据库/引擎

    1 初探 在平时的开发工作中,我们可能会有这样的需求:我们希望有一个内存数据库或者数据引擎,用比较Pythonic的方式进行数据库的操作(比如说插入和查询). 举个具体的例子,分别向数据库db中插入两 ...

  2. python内存数据库pydblite

    Pure-Python engine 最近由于项目开发中发现python informixDB模块对多线程的支持非常不好,当开启两个线程同时连接informix数据库的时候,数据库会报错,显示SQL ...

  3. 【python】-- Redis简介、命令、示例

    Redis简介 Redis 是完全开源免费的,遵守BSD协议,是一个高性能的key-value数据库. Redis 与其他 key - value 缓存产品有以下三个特点: Redis支持数据的持久化 ...

  4. python之redis和memcache操作

    Redis 教程 Redis是一个开源(BSD许可),内存存储的数据结构服务器,可用作数据库,高速缓存和消息队列代理.Redis 是完全开源免费的,遵守BSD协议,是一个高性能的key-value数据 ...

  5. [Python] Create a Django project in Pycharm

    From: http://blog.csdn.net/u013088062/article/details/50158239 From: http://blog.csdn.net/u013088062 ...

  6. [Python] Interpreter setting in Pycharm

    From: http://blog.csdn.net/u013088062/article/details/50135135 From: http://blog.csdn.net/u013088062 ...

  7. 在ubunut下使用pycharm和eclipse进行python远程调试

    我比较喜欢Pycharm,因为这个是JetBrains公司出的python IDE工具,该公司下的java IDE工具--IDEA,无论从界面还是操作上都甩eclipse几条街,但项目组里有些人使用e ...

  8. Python爬虫(图片)编写过程中遇到的问题

    最近我突然对网络爬虫开窍了,真正做起来的时候发现并不算太难,都怪我以前有点懒,不过近两年编写了一些程序,手感积累了一些肯定也是因素,总之,还是惭愧了.好了,说正题,我把这两天做爬虫的过程中遇到的问题总 ...

  9. 轻量级开源内存数据库SQLite性能测试

    [IT168 专稿]SQLite是一款轻型的数据库,它占用资源非常的低,同时能够跟很多程序语言相结合,但是支持的SQL语句不会逊色于其他开源数据库.它的设计目标是嵌入式的,而且目前已经在很多嵌入式产品 ...

随机推荐

  1. Docker学习笔记【一】

    [本篇学习笔记来源于 Docker 从入门到实践] 1.什么事Docker?[What] Docker在容器的基础上,进行了进一步的封装,从文件系统.网络互联到进程隔离等,极大的简化了容器的创建和维护 ...

  2. 分布式改造剧集之Redis缓存采坑记

    Redis缓存采坑记 ​ 前言 ​ 这个其实应该属于分布式改造剧集中的一集(第一集见前面博客:http://www.cnblogs.com/Kidezyq/p/8748961.html),本来按照顺序 ...

  3. RxSwift 系列(八) -- Error Handing Operators

    前言 本篇文章我们将学习RxSwift中的错误处理,包括: catchErrorJustReturn catchError retry retry(_:) catchErrorJustReturn 遇 ...

  4. 反射实现java深度克隆

    一.克隆 有时想得到对象的一个复制品,该复制品的实体是原对象实体的克隆.复制品实体的变化不会引起原对象实体发生变化,这样的复制品称为原对象实体的克隆对象或简称克隆. 1.浅复制(浅克隆) 概念:被复制 ...

  5. vscode 常见插件及配置 备忘

    配置 // 以下解决格式化js自动添加分号 "prettier.singleQuote": true, "prettier.semi": false, // 以 ...

  6. 吴恩达深度学习第4课第3周编程作业 + PIL + Python3 + Anaconda环境 + Ubuntu + 导入PIL报错的解决

    问题描述: 做吴恩达深度学习第4课第3周编程作业时导入PIL包报错. 我的环境: 已经安装了Tensorflow GPU 版本 Python3 Anaconda 解决办法: 安装pillow模块,而不 ...

  7. bootstrap 栅格系统 HTTP协议 软件架构 B/S C/S 常见的WEB服务器

    Day32 bootstrap Bootstrap就是响应式布局最成功的实现,为了兼容不同的浏览器采用jQuery,为了适配不同的终端采用CSS3 Media Query (媒体查询) 1.1.1 栅 ...

  8. Dynamics 365 Online 试用账号申请方式

    专人整理的申请方式PPT,这里转载给大家,下载地址

  9. App安全(一) Android防止升级过程被劫持和换包

    文/ Tamic 地址/ http://blog.csdn.net/sk719887916/article/details/52233112 前言 APP 安全一直是开发者头痛的事情,越来越多的安全漏 ...

  10. Java进阶(四十三)线程与进程的区别

    Java进阶(四十三)线程与进程的区别 1.线程的基本概念   概念:线程是进程中执行运算的最小单位,是进程中的一个实体,是被系统独立调度和分派的基本单位,线程自己不拥有系统资源,只拥有一点在运行中必 ...